289 Effects of supranutritional levels of dietary zinc oxide on zinc, copper, and iron metabolism in post-weaned pigs
Bibliographic record
Abstract
Abstract This study evaluated the impact of supranutritional levels of dietary zinc oxide (ZnO) on zinc (Zn), copper (Cu), and iron (Fe) homeostasis in post-weaned pigs. One hundred twenty piglets were selected at d14 of age (5.65 ± 0.68 kg). At weaning (d21), they were fed a basal post-weaning diet (without antibiotics) supplemented (n = 40/treatment) with 100 mg/kg (low; LZn), 1000 mg/kg (medium; MZn) or 3000 mg/kg (high; HZn) of ZnO until d42. Dietary levels of Cu (130 mg/kg) and Fe (260 mg/kg) remained constant throughout the experimental period. Piglets were sacrificed at d21, d23, d35, and d42 of age (n = 10/treatment/d) for samples collection. Serum concentrations and total liver content of Zn and Cu were not different among treatments on d21 and d23 (P ≥ 0.10). For Zn, treatment effects were detected at d35 and d42 (P < 0.01) on both serum concentration and total Zn content in liver. For both parameters, values were greatest for HZn, intermediary for MZn, and lowest for LZn irrespective of ages in the two periods. For Cu, treatment effects were detected at d35 and d42 (P < 0.01) on both serum concentration and total Cu content in liver. For both parameters, values were greatest for LZn and MZn and lowest for HZn irrespective of ages. For Fe, no treatment effect was detected either on whole blood Fe concentrations (P = 0.81) or hemoglobin levels (P = 0.76). However, for total Fe content in liver, treatment effects were detected (P < 0.01). Values were greatest for LZn and lowest for HZn at d35 and d42 whereas for MZn they were intermediary at d35 and similar to LZn at d42 (P ≤ 0.01). In conclusion, supranutritional levels of dietary ZnO fed to piglets during 3 weeks post-weaning significantly impacted Zn, Cu, and Fe homeostasis. These results emphasise the potential risk of Cu deficiency as well as impairment in building body Fe reserves under long-term supranutritional supplementation of ZnO.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".